Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	96022
Missing cells	512704
Missing cells (%)	16.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	43.5 MiB
Average record size in memory	475.0 B

Variable types

Numeric	18
Categorical	15

Alerts

`Annual_Income` is highly correlated with `Monthly_Inhand_Salary` and 2 other fields	High correlation
`Monthly_Inhand_Salary` is highly correlated with `Annual_Income` and 2 other fields	High correlation
`Num_Bank_Accounts` is highly correlated with `Num_Credit_Card` and 8 other fields	High correlation
`Interest_Rate` is highly correlated with `Num_Bank_Accounts` and 9 other fields	High correlation
`Num_of_Loan` is highly correlated with `Num_Bank_Accounts` and 13 other fields	High correlation
`Delay_from_due_date` is highly correlated with `Num_Bank_Accounts` and 7 other fields	High correlation
`Num_of_Delayed_Payment` is highly correlated with `Num_Bank_Accounts` and 5 other fields	High correlation
`Num_Credit_Inquiries` is highly correlated with `Num_Bank_Accounts` and 7 other fields	High correlation
`Outstanding_Debt` is highly correlated with `Num_Bank_Accounts` and 10 other fields	High correlation
`Total_EMI_per_month` is highly correlated with `Num_of_Loan` and 1 other fields	High correlation
`Amount_invested_monthly` is highly correlated with `Annual_Income` and 1 other fields	High correlation
`Monthly_Balance` is highly correlated with `Annual_Income` and 1 other fields	High correlation
`Credit_History_Age_Numeric` is highly correlated with `Interest_Rate` and 5 other fields	High correlation
`No Loan` is highly correlated with `Num_of_Loan` and 1 other fields	High correlation
`Credit_Mix` is highly correlated with `Num_Bank_Accounts` and 10 other fields	High correlation
`Num_Credit_Card` is highly correlated with `Num_Bank_Accounts` and 4 other fields	High correlation
`Changed_Credit_Limit` is highly correlated with `Outstanding_Debt` and 1 other fields	High correlation
`Credit-Builder Loan` is highly correlated with `Num_of_Loan`	High correlation
`Home Equity Loan` is highly correlated with `Num_of_Loan`	High correlation
`Mortgage Loan` is highly correlated with `Num_of_Loan`	High correlation
`Payday Loan` is highly correlated with `Num_of_Loan`	High correlation
`Payment_of_Min_Amount` is highly correlated with `Num_Bank_Accounts` and 7 other fields	High correlation
`Age` has 16022 (16.7%) missing values	Missing
`Annual_Income` has 16022 (16.7%) missing values	Missing
`Monthly_Inhand_Salary` has 16022 (16.7%) missing values	Missing
`Num_Bank_Accounts` has 16022 (16.7%) missing values	Missing
`Num_Credit_Card` has 16022 (16.7%) missing values	Missing
`Interest_Rate` has 16022 (16.7%) missing values	Missing
`Num_of_Loan` has 16022 (16.7%) missing values	Missing
`Delay_from_due_date` has 16022 (16.7%) missing values	Missing
`Num_of_Delayed_Payment` has 16022 (16.7%) missing values	Missing
`Changed_Credit_Limit` has 16022 (16.7%) missing values	Missing
`Num_Credit_Inquiries` has 16022 (16.7%) missing values	Missing
`Outstanding_Debt` has 16022 (16.7%) missing values	Missing
`Credit_Utilization_Ratio` has 16022 (16.7%) missing values	Missing
`Total_EMI_per_month` has 16022 (16.7%) missing values	Missing
`Amount_invested_monthly` has 16022 (16.7%) missing values	Missing
`Monthly_Balance` has 16022 (16.7%) missing values	Missing
`Auto Loan` has 16022 (16.7%) missing values	Missing
`Credit-Builder Loan` has 16022 (16.7%) missing values	Missing
`Personal Loan` has 16022 (16.7%) missing values	Missing
`Home Equity Loan` has 16022 (16.7%) missing values	Missing
`Not Specified` has 16022 (16.7%) missing values	Missing
`Mortgage Loan` has 16022 (16.7%) missing values	Missing
`Student Loan` has 16022 (16.7%) missing values	Missing
`Debt Consolidation Loan` has 16022 (16.7%) missing values	Missing
`Payday Loan` has 16022 (16.7%) missing values	Missing
`No Loan` has 16022 (16.7%) missing values	Missing
`Credit_History_Age_Numeric` has 16022 (16.7%) missing values	Missing
`Occupation` has 16022 (16.7%) missing values	Missing
`Credit_Mix` has 16022 (16.7%) missing values	Missing
`Payment_of_Min_Amount` has 16022 (16.7%) missing values	Missing
`Payment_Behaviour` has 16022 (16.7%) missing values	Missing
`Credit_Score` has 16022 (16.7%) missing values	Missing
`df_index` has unique values	Unique
`Num_Bank_Accounts` has 3460 (3.6%) zeros	Zeros
`Num_of_Loan` has 8339 (8.7%) zeros	Zeros
`Delay_from_due_date` has 979 (1.0%) zeros	Zeros
`Num_of_Delayed_Payment` has 1245 (1.3%) zeros	Zeros
`Num_Credit_Inquiries` has 5637 (5.9%) zeros	Zeros
`Total_EMI_per_month` has 8506 (8.9%) zeros	Zeros

Reproduction

Analysis started	2022-10-25 19:40:56.679303
Analysis finished	2022-10-25 19:42:27.675871
Duration	1 minute and 31 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	96022
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48341.61973

Minimum	0
Maximum	99998
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	4801.05
Q1	24005.25
median	48010.5
Q3	72015.75
95-th percentile	94007.95
Maximum	99998
Range	99998
Interquartile range (IQR)	48010.5

Descriptive statistics

Standard deviation	28238.61453
Coefficient of variation (CV)	0.5841470494
Kurtosis	-1.149008265
Mean	48341.61973
Median Absolute Deviation (MAD)	24005.5
Skewness	0.05122370091
Sum	4641859010
Variance	797419350.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
64012	1	< 0.1%
64021	1	< 0.1%
64020	1	< 0.1%
64019	1	< 0.1%
64018	1	< 0.1%
64017	1	< 0.1%
64016	1	< 0.1%
64015	1	< 0.1%
64014	1	< 0.1%
Other values (96012)	96012	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
99998	1	< 0.1%
99997	1	< 0.1%
99996	1	< 0.1%
99995	1	< 0.1%
99994	1	< 0.1%
99992	1	< 0.1%
99990	1	< 0.1%
99989	1	< 0.1%
99988	1	< 0.1%
99987	1	< 0.1%

Age
Real number (ℝ_≥0)

MISSING

Distinct	42
Distinct (%)	0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	33.528025

Minimum	15
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	15
5-th percentile	18
Q1	26
median	33
Q3	41
95-th percentile	52
Maximum	56
Range	41
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.13701628
Coefficient of variation (CV)	0.3023445694
Kurtosis	-0.7308763086
Mean	33.528025
Median Absolute Deviation (MAD)	8
Skewness	0.1928563768
Sum	2682242
Variance	102.7590991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
33	9024	9.4%
28	2280	2.4%
31	2244	2.3%
38	2242	2.3%
32	2217	2.3%
26	2214	2.3%
25	2198	2.3%
27	2186	2.3%
36	2174	2.3%
34	2171	2.3%
Other values (32)	51050	53.2%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1185	1.2%
16	1085	1.1%
17	1151	1.2%
18	1810	1.9%
19	2094	2.2%
20	2107	2.2%
21	2023	2.1%
22	2082	2.2%
23	2025	2.1%
24	2048	2.1%

Value	Count	Frequency (%)
56	267	0.3%
55	1048	1.1%
54	992	1.0%
53	1045	1.1%
52	1026	1.1%
51	970	1.0%
50	963	1.0%
49	1059	1.1%
48	1071	1.1%
47	931	1.0%

Annual_Income
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	12267
Distinct (%)	15.3%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	47328.22288

Minimum	7005.93
Maximum	153147.64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	7005.93
5-th percentile	9917.025
Q1	20082.6325
median	36496.38
Q3	65934.22
95-th percentile	121187.49
Maximum	153147.64
Range	146141.71
Interquartile range (IQR)	45851.5875

Descriptive statistics

Standard deviation	33680.6717
Coefficient of variation (CV)	0.7116403205
Kurtosis	0.4476756089
Mean	47328.22288
Median Absolute Deviation (MAD)	19096.95
Skewness	1.108716132
Sum	3786257830
Variance	1134387646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36496.38	7598	7.9%
20867.67	15	< 0.1%
17273.83	14	< 0.1%
95596.35	14	< 0.1%
33029.66	13	< 0.1%
72524.2	13	< 0.1%
9141.63	13	< 0.1%
36585.12	13	< 0.1%
17816.75	12	< 0.1%
22434.16	12	< 0.1%
Other values (12257)	72283	75.3%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7005.93	4	< 0.1%
7006.035	7	< 0.1%
7006.52	7	< 0.1%
7011.685	7	< 0.1%
7012.31	7	< 0.1%
7019.435	6	< 0.1%
7020.545	6	< 0.1%
7021.91	8	< 0.1%
7023.16	7	< 0.1%
7039.745	6	< 0.1%

Value	Count	Frequency (%)
153147.64	5	< 0.1%
152947.12	5	< 0.1%
152895.44	7	< 0.1%
152796.76	2	< 0.1%
152574.76	4	< 0.1%
152483.32	6	< 0.1%
152340.56	7	< 0.1%
152252.24	5	< 0.1%
152148.92	8	< 0.1%
152104.68	5	< 0.1%

Monthly_Inhand_Salary
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	13165
Distinct (%)	16.5%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	4038.992109

Minimum	303.6454167
Maximum	15204.63333
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	303.6454167
5-th percentile	893.8820833
Q1	1801.546667
median	3106.8475
Q3	5387.345
95-th percentile	10474.35667
Maximum	15204.63333
Range	14900.98792
Interquartile range (IQR)	3585.798333

Descriptive statistics

Standard deviation	2959.486161
Coefficient of variation (CV)	0.7327288791
Kurtosis	1.366820583
Mean	4038.992109
Median Absolute Deviation (MAD)	1552.665
Skewness	1.342870444
Sum	323119368.7
Variance	8758558.335
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3106.8475	11991	12.5%
6769.13	14	< 0.1%
2295.058333	14	< 0.1%
6082.1875	14	< 0.1%
3080.555	12	< 0.1%
6358.956667	11	< 0.1%
6639.56	11	< 0.1%
5766.491667	10	< 0.1%
1315.560833	10	< 0.1%
4387.2725	9	< 0.1%
Other values (13155)	67904	70.7%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
303.6454167	6	< 0.1%
319.55625	5	< 0.1%
332.1283333	4	< 0.1%
332.43125	6	< 0.1%
333.5966667	5	< 0.1%
355.2083333	6	< 0.1%
357.2558333	7	< 0.1%
358.0583333	4	< 0.1%
361.6033333	4	< 0.1%
368.3741667	6	< 0.1%

Value	Count	Frequency (%)
15204.63333	7	< 0.1%
15167.18	7	< 0.1%
15136.69667	5	< 0.1%
15115.19	5	< 0.1%
15101.94	5	< 0.1%
15091.08667	4	< 0.1%
15090.07667	6	< 0.1%
15066.78333	4	< 0.1%
15038.31667	2	< 0.1%
14978.33667	5	< 0.1%

Num_Bank_Accounts
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	5.3593125

Minimum	0
Maximum	11
Zeros	3460
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	10
Maximum	11
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.575687278
Coefficient of variation (CV)	0.4806003154
Kurtosis	-0.665167121
Mean	5.3593125
Median Absolute Deviation (MAD)	2
Skewness	-0.1818061607
Sum	428745
Variance	6.634164954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	10819	11.3%
6	10415	10.8%
7	10207	10.6%
8	10194	10.6%
4	9731	10.1%
3	9560	10.0%
9	4317	4.5%
10	4208	4.4%
1	3619	3.8%
2	3463	3.6%
Other values (2)	3467	3.6%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3460	3.6%
1	3619	3.8%
2	3463	3.6%
3	9560	10.0%
4	9731	10.1%
5	10819	11.3%
6	10415	10.8%
7	10207	10.6%
8	10194	10.6%
9	4317	4.5%

Value	Count	Frequency (%)
11	7	< 0.1%
10	4208	4.4%
9	4317	4.5%
8	10194	10.6%
7	10207	10.6%
6	10415	10.8%
5	10819	11.3%
4	9731	10.1%
3	9560	10.0%
2	3463	3.6%

Num_Credit_Card
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	5.5188125

Minimum	1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	4
median	5
Q3	7
95-th percentile	9
Maximum	11
Range	10
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.044803989
Coefficient of variation (CV)	0.3705152131
Kurtosis	-0.2703626287
Mean	5.5188125
Median Absolute Deviation (MAD)	1
Skewness	0.247154058
Sum	441505
Variance	4.181223355
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5	16547	17.2%
7	13312	13.9%
6	13259	13.8%
4	11254	11.7%
3	10620	11.1%
8	3947	4.1%
10	3877	4.0%
9	3701	3.9%
2	1738	1.8%
1	1717	1.8%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1717	1.8%
2	1738	1.8%
3	10620	11.1%
4	11254	11.7%
5	16547	17.2%
6	13259	13.8%
7	13312	13.9%
8	3947	4.1%
9	3701	3.9%
10	3877	4.0%

Value	Count	Frequency (%)
11	28	< 0.1%
10	3877	4.0%
9	3701	3.9%
8	3947	4.1%
7	13312	13.9%
6	13259	13.8%
5	16547	17.2%
4	11254	11.7%
3	10620	11.1%
2	1738	1.8%

Interest_Rate
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	14.4719375

Minimum	1
Maximum	34
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	13
Q3	20
95-th percentile	31
Maximum	34
Range	33
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.658508799
Coefficient of variation (CV)	0.5982964478
Kurtosis	-0.6213051615
Mean	14.4719375
Median Absolute Deviation (MAD)	6
Skewness	0.5176800417
Sum	1157755
Variance	74.96977462
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
8	3992	4.2%
5	3974	4.1%
6	3816	4.0%
10	3639	3.8%
9	3630	3.8%
12	3628	3.8%
7	3595	3.7%
13	3538	3.7%
11	3538	3.7%
18	3266	3.4%
Other values (24)	43384	45.2%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2158	2.2%
2	2026	2.1%
3	2218	2.3%
4	2079	2.2%
5	3974	4.1%
6	3816	4.0%
7	3595	3.7%
8	3992	4.2%
9	3630	3.8%
10	3639	3.8%

Value	Count	Frequency (%)
34	1210	1.3%
33	1167	1.2%
32	1389	1.4%
31	1188	1.2%
30	1356	1.4%
29	1332	1.4%
28	1277	1.3%
27	1262	1.3%
26	1187	1.2%
25	1228	1.3%

Num_of_Loan
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.4785875

Minimum	0
Maximum	9
Zeros	8339
Zeros (%)	8.7%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.338040811
Coefficient of variation (CV)	0.6721236166
Kurtosis	-0.3513117617
Mean	3.4785875
Median Absolute Deviation (MAD)	1
Skewness	0.5293797177
Sum	278287
Variance	5.466434835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	18800	19.6%
2	11426	11.9%
4	11165	11.6%
0	8339	8.7%
1	8121	8.5%
6	5925	6.2%
7	5539	5.8%
5	5456	5.7%
9	2819	2.9%
8	2410	2.5%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8339	8.7%
1	8121	8.5%
2	11426	11.9%
3	18800	19.6%
4	11165	11.6%
5	5456	5.7%
6	5925	6.2%
7	5539	5.8%
8	2410	2.5%
9	2819	2.9%

Value	Count	Frequency (%)
9	2819	2.9%
8	2410	2.5%
7	5539	5.8%
6	5925	6.2%
5	5456	5.7%
4	11165	11.6%
3	18800	19.6%
2	11426	11.9%
1	8121	8.5%
0	8339	8.7%

Delay_from_due_date
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	68
Distinct (%)	0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	21.157175

Minimum	0
Maximum	67
Zeros	979
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	10
median	18
Q3	28
95-th percentile	54
Maximum	67
Range	67
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.73602763
Coefficient of variation (CV)	0.6965026112
Kurtosis	0.3884490529
Mean	21.157175
Median Absolute Deviation (MAD)	9
Skewness	0.9895904879
Sum	1692574
Variance	217.1505104
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	2869	3.0%
13	2731	2.8%
8	2646	2.8%
10	2637	2.7%
14	2625	2.7%
9	2609	2.7%
18	2598	2.7%
7	2581	2.7%
11	2570	2.7%
6	2524	2.6%
Other values (58)	53610	55.8%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	979	1.0%
1	1056	1.1%
2	1057	1.1%
3	1369	1.4%
4	1382	1.4%
5	2428	2.5%
6	2524	2.6%
7	2581	2.7%
8	2646	2.8%
9	2609	2.7%

Value	Count	Frequency (%)
67	19	< 0.1%
66	25	< 0.1%
65	46	< 0.1%
64	54	0.1%
63	54	0.1%
62	424	0.4%
61	418	0.4%
60	413	0.4%
59	400	0.4%
58	444	0.5%

Num_of_Delayed_Payment
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	29
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	13.4739125

Minimum	0
Maximum	28
Zeros	1245
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	10
median	14
Q3	18
95-th percentile	23
Maximum	28
Range	28
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.852582558
Coefficient of variation (CV)	0.4343640022
Kurtosis	-0.3687713316
Mean	13.4739125
Median Absolute Deviation (MAD)	4
Skewness	-0.2192224617
Sum	1077913
Variance	34.2527226
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
14	12140	12.6%
19	4250	4.4%
17	4224	4.4%
16	4196	4.4%
10	4107	4.3%
15	4032	4.2%
18	4012	4.2%
12	3932	4.1%
20	3926	4.1%
9	3908	4.1%
Other values (19)	31273	32.6%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1245	1.3%
1	1277	1.3%
2	1395	1.5%
3	1483	1.5%
4	1459	1.5%
5	1658	1.7%
6	1795	1.9%
7	1846	1.9%
8	3781	3.9%
9	3908	4.1%

Value	Count	Frequency (%)
28	105	0.1%
27	185	0.2%
26	249	0.3%
25	1283	1.3%
24	1299	1.4%
23	1575	1.6%
22	1782	1.9%
21	2034	2.1%
20	3926	4.1%
19	4250	4.4%

Changed_Credit_Limit
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	3627
Distinct (%)	4.5%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	10.54526363

Minimum	0
Maximum	36.97
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1.54
Q1	5.76
median	9.51
Q3	14.61
95-th percentile	23.44
Maximum	36.97
Range	36.97
Interquartile range (IQR)	8.85

Descriptive statistics

Standard deviation	6.510016205
Coefficient of variation (CV)	0.6173402995
Kurtosis	0.2395578803
Mean	10.54526363
Median Absolute Deviation (MAD)	4.25
Skewness	0.7541588219
Sum	843621.09
Variance	42.38031099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.51	3035	3.2%
8.22	104	0.1%
11.5	104	0.1%
11.32	103	0.1%
10.06	100	0.1%
7.35	97	0.1%
8.23	94	0.1%
1.63	91	0.1%
7.69	91	0.1%
7.33	90	0.1%
Other values (3617)	76091	79.2%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
0.01	7	< 0.1%
0.02	1	< 0.1%
0.02	3	< 0.1%
0.03	1	< 0.1%
0.03	1	< 0.1%
0.03	3	< 0.1%
0.04	2	< 0.1%
0.05	3	< 0.1%
0.06	3	< 0.1%

Value	Count	Frequency (%)
36.97	1	< 0.1%
36.49	1	< 0.1%
36.09	1	< 0.1%
35.84	1	< 0.1%
35.82	1	< 0.1%
35.52	1	< 0.1%
35.4	1	< 0.1%
35.3	1	< 0.1%
35.28	1	< 0.1%
35.02	1	< 0.1%

Num_Credit_Inquiries
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	18
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	5.7419

Minimum	0
Maximum	17
Zeros	5637
Zeros (%)	5.9%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	5
Q3	8
95-th percentile	12
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.789375131
Coefficient of variation (CV)	0.6599514326
Kurtosis	-0.5260074897
Mean	5.7419
Median Absolute Deviation (MAD)	3
Skewness	0.4342370186
Sum	459352
Variance	14.35936388
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
4	9052	9.4%
5	7484	7.8%
3	7131	7.4%
6	6516	6.8%
7	6420	6.7%
2	6394	6.7%
8	6250	6.5%
1	6059	6.3%
0	5637	5.9%
9	4225	4.4%
Other values (8)	14832	15.4%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5637	5.9%
1	6059	6.3%
2	6394	6.7%
3	7131	7.4%
4	9052	9.4%
5	7484	7.8%
6	6516	6.8%
7	6420	6.7%
8	6250	6.5%
9	4225	4.4%

Value	Count	Frequency (%)
17	220	0.2%
16	351	0.4%
15	624	0.6%
14	834	0.9%
13	1198	1.2%
12	3676	3.8%
11	4055	4.2%
10	3874	4.0%
9	4225	4.4%
8	6250	6.5%

Outstanding_Debt
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	12203
Distinct (%)	15.3%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	1420.501156

Minimum	0.23
Maximum	4998.07
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0.23
5-th percentile	121.26
Q1	570.4
median	1161.51
Q3	1920.6875
95-th percentile	4071.62
Maximum	4998.07
Range	4997.84
Interquartile range (IQR)	1350.2875

Descriptive statistics

Standard deviation	1148.662237
Coefficient of variation (CV)	0.8086316806
Kurtosis	0.9816417127
Mean	1420.501156
Median Absolute Deviation (MAD)	631.64
Skewness	1.228487765
Sum	113640092.5
Variance	1319424.936
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1161.51	828	0.9%
1360.45	20	< 0.1%
1151.7	18	< 0.1%
460.46	18	< 0.1%
1263.18	16	< 0.1%
1109.03	16	< 0.1%
1406.85	16	< 0.1%
1961.73	16	< 0.1%
1286.07	16	< 0.1%
796.88	15	< 0.1%
Other values (12193)	79021	82.3%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.23	8	< 0.1%
0.34	7	< 0.1%
0.54	7	< 0.1%
0.56	6	< 0.1%
0.77	7	< 0.1%
0.95	14	< 0.1%
1.2	2	< 0.1%
1.23	8	< 0.1%
1.3	6	< 0.1%
1.33	5	< 0.1%

Value	Count	Frequency (%)
4998.07	7	< 0.1%
4997.1	7	< 0.1%
4997.05	8	< 0.1%
4992.25	8	< 0.1%
4990.91	8	< 0.1%
4987.19	5	< 0.1%
4986.03	6	< 0.1%
4984.82	6	< 0.1%
4983.86	7	< 0.1%
4982.57	7	< 0.1%

Credit_Utilization_Ratio
Real number (ℝ_≥0)

MISSING

Distinct	80000
Distinct (%)	100.0%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	32.28648288

Minimum	20
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	20
5-th percentile	24.24040883
Q1	28.053517
median	32.30396013
Q3	36.50004369
95-th percentile	40.23264821
Maximum	50
Range	30
Interquartile range (IQR)	8.446526691

Descriptive statistics

Standard deviation	5.114983442
Coefficient of variation (CV)	0.1584249192
Kurtosis	-0.9431484111
Mean	32.28648288
Median Absolute Deviation (MAD)	4.222493097
Skewness	0.02906363257
Sum	2582918.631
Variance	26.16305561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22.07844595	1	< 0.1%
29.16355044	1	< 0.1%
31.49990386	1	< 0.1%
26.11521517	1	< 0.1%
25.0223011	1	< 0.1%
33.13014702	1	< 0.1%
31.62556084	1	< 0.1%
35.7657241	1	< 0.1%
39.71998999	1	< 0.1%
27.76967925	1	< 0.1%
Other values (79990)	79990	83.3%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	1	< 0.1%
20.24413035	1	< 0.1%
20.8309456	1	< 0.1%
20.83248709	1	< 0.1%
20.88008193	1	< 0.1%
20.88125004	1	< 0.1%
20.98560579	1	< 0.1%
20.992914	1	< 0.1%
21.02766451	1	< 0.1%
21.02869026	1	< 0.1%

Value	Count	Frequency (%)
50	1	< 0.1%
49.56451935	1	< 0.1%
49.5223243	1	< 0.1%
49.25498298	1	< 0.1%
49.06427745	1	< 0.1%
48.48985173	1	< 0.1%
48.24700252	1	< 0.1%
48.19982398	1	< 0.1%
48.1917489	1	< 0.1%
48.1765989	1	< 0.1%

Total_EMI_per_month
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	11152
Distinct (%)	13.9%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	88.04881593

Minimum	0
Maximum	358.8601966
Zeros	8506
Zeros (%)	8.9%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	30.30645981
median	63.36866264
Q3	125.0155077
95-th percentile	260.468081
Maximum	358.8601966
Range	358.8601966
Interquartile range (IQR)	94.70904786

Descriptive statistics

Standard deviation	80.06974018
Coefficient of variation (CV)	0.9093789546
Kurtosis	0.8679143271
Mean	88.04881593
Median Absolute Deviation (MAD)	40.09474823
Skewness	1.226496118
Sum	7043905.275
Variance	6411.163293
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8506	8.9%
63.36866264	5474	5.7%
21.39713947	8	< 0.1%
52.92380656	8	< 0.1%
43.49571773	8	< 0.1%
44.31175856	8	< 0.1%
48.2456714	8	< 0.1%
76.82031354	8	< 0.1%
46.47119698	8	< 0.1%
153.3162461	8	< 0.1%
Other values (11142)	65956	68.7%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8506	8.9%
4.462837467	5	< 0.1%
4.713183572	6	< 0.1%
4.865689677	7	< 0.1%
4.916138542	3	< 0.1%
5.138484696	7	< 0.1%
5.218466359	7	< 0.1%
5.24927327	6	< 0.1%
5.262291048	7	< 0.1%
5.351086151	7	< 0.1%

Value	Count	Frequency (%)
358.8601966	6	< 0.1%
358.0405652	5	< 0.1%
357.4060675	4	< 0.1%
356.979543	5	< 0.1%
356.9316469	6	< 0.1%
356.7665325	6	< 0.1%
356.697459	4	< 0.1%
356.3654785	7	< 0.1%
356.3315408	6	< 0.1%
356.1429292	5	< 0.1%

Amount_invested_monthly
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	72848
Distinct (%)	91.1%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	189.9346176

Minimum	0
Maximum	1977.326102
Zeros	146
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0
5-th percentile	32.46250811
Q1	77.28796563
median	129.1812728
Q3	220.7058888
95-th percentile	588.3354755
Maximum	1977.326102
Range	1977.326102
Interquartile range (IQR)	143.4179232

Descriptive statistics

Standard deviation	191.7948737
Coefficient of variation (CV)	1.009794192
Kurtosis	10.03501351
Mean	189.9346176
Median Absolute Deviation (MAD)	62.26324442
Skewness	2.736210206
Sum	15194769.41
Variance	36785.27358
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
129.1812728	7008	7.3%
0	146	0.2%
86.99177671	1	< 0.1%
96.23096561	1	< 0.1%
10.8051359	1	< 0.1%
61.80869364	1	< 0.1%
107.1980199	1	< 0.1%
195.475668	1	< 0.1%
40.68363249	1	< 0.1%
58.77246281	1	< 0.1%
Other values (72838)	72838	75.9%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	146	0.2%
10.01019426	1	< 0.1%
10.0114248	1	< 0.1%
10.03659961	1	< 0.1%
10.05376835	1	< 0.1%
10.07193677	1	< 0.1%
10.1075469	1	< 0.1%
10.11661404	1	< 0.1%
10.1225566	1	< 0.1%
10.13191094	1	< 0.1%

Value	Count	Frequency (%)
1977.326102	1	< 0.1%
1961.21885	1	< 0.1%
1944.520747	1	< 0.1%
1941.237454	1	< 0.1%
1903.080048	1	< 0.1%
1901.791695	1	< 0.1%
1890.855773	1	< 0.1%
1885.645318	1	< 0.1%
1804.355694	1	< 0.1%
1804.332527	1	< 0.1%

Monthly_Balance
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	79051
Distinct (%)	98.8%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	401.8615211

Minimum	0.007759664775
Maximum	1602.040519
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0.007759664775
5-th percentile	175.1027546
Q1	270.8825003
median	336.8486202
Q3	467.947347
95-th percentile	860.8077584
Maximum	1602.040519
Range	1602.032759
Interquartile range (IQR)	197.0648467

Descriptive statistics

Standard deviation	212.9496277
Coefficient of variation (CV)	0.5299079821
Kurtosis	3.044992976
Mean	401.8615211
Median Absolute Deviation (MAD)	83.58489079
Skewness	1.613914025
Sum	32148921.69
Variance	45347.54395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
336.8486202	950	1.0%
291.9515174	1	< 0.1%
506.4192333	1	< 0.1%
329.0834597	1	< 0.1%
370.1841156	1	< 0.1%
436.6865128	1	< 0.1%
255.6431425	1	< 0.1%
350.7191134	1	< 0.1%
426.1187553	1	< 0.1%
659.7860674	1	< 0.1%
Other values (79041)	79041	82.3%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.007759664775	1	< 0.1%
0.08862786535	1	< 0.1%
0.09548249602	1	< 0.1%
0.1311356511	1	< 0.1%
0.3661470795	1	< 0.1%
0.3825579788	1	< 0.1%
0.599640126	1	< 0.1%
0.6360613284	1	< 0.1%
0.688298779	1	< 0.1%
0.7102397102	1	< 0.1%

Value	Count	Frequency (%)
1602.040519	1	< 0.1%
1567.208309	1	< 0.1%
1566.613165	1	< 0.1%
1564.134826	1	< 0.1%
1558.421841	1	< 0.1%
1555.201051	1	< 0.1%
1552.946094	1	< 0.1%
1546.31964	1	< 0.1%
1542.274695	1	< 0.1%
1534.963533	1	< 0.1%

Auto Loan
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	55570
1.0	24430

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	55570	57.9%
1.0	24430	25.4%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	55570	69.5%
1.0	24430	30.5%

Most occurring characters

Value	Count	Frequency (%)
0	135570	56.5%
.	80000	33.3%
1	24430	10.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135570	84.7%
1	24430	15.3%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135570	56.5%
.	80000	33.3%
1	24430	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135570	56.5%
.	80000	33.3%
1	24430	10.2%

Credit-Builder Loan
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	54630
1.0	25370

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	54630	56.9%
1.0	25370	26.4%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	54630	68.3%
1.0	25370	31.7%

Most occurring characters

Value	Count	Frequency (%)
0	134630	56.1%
.	80000	33.3%
1	25370	10.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	134630	84.1%
1	25370	15.9%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	134630	56.1%
.	80000	33.3%
1	25370	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	134630	56.1%
.	80000	33.3%
1	25370	10.6%

Personal Loan
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	55139
1.0	24861

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	55139	57.4%
1.0	24861	25.9%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	55139	68.9%
1.0	24861	31.1%

Most occurring characters

Value	Count	Frequency (%)
0	135139	56.3%
.	80000	33.3%
1	24861	10.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135139	84.5%
1	24861	15.5%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135139	56.3%
.	80000	33.3%
1	24861	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135139	56.3%
.	80000	33.3%
1	24861	10.4%

Home Equity Loan
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	54820
1.0	25180

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	54820	57.1%
1.0	25180	26.2%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	54820	68.5%
1.0	25180	31.5%

Most occurring characters

Value	Count	Frequency (%)
0	134820	56.2%
.	80000	33.3%
1	25180	10.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	134820	84.3%
1	25180	15.7%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	134820	56.2%
.	80000	33.3%
1	25180	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	134820	56.2%
.	80000	33.3%
1	25180	10.5%

Not Specified
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	54691
1.0	25309

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	54691	57.0%
1.0	25309	26.4%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	54691	68.4%
1.0	25309	31.6%

Most occurring characters

Value	Count	Frequency (%)
0	134691	56.1%
.	80000	33.3%
1	25309	10.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	134691	84.2%
1	25309	15.8%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	134691	56.1%
.	80000	33.3%
1	25309	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	134691	56.1%
.	80000	33.3%
1	25309	10.5%

Mortgage Loan
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	55066
1.0	24934

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	55066	57.3%
1.0	24934	26.0%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	55066	68.8%
1.0	24934	31.2%

Most occurring characters

Value	Count	Frequency (%)
0	135066	56.3%
.	80000	33.3%
1	24934	10.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135066	84.4%
1	24934	15.6%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135066	56.3%
.	80000	33.3%
1	24934	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135066	56.3%
.	80000	33.3%
1	24934	10.4%

Student Loan
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	55175
1.0	24825

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	55175	57.5%
1.0	24825	25.9%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	55175	69.0%
1.0	24825	31.0%

Most occurring characters

Value	Count	Frequency (%)
0	135175	56.3%
.	80000	33.3%
1	24825	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135175	84.5%
1	24825	15.5%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135175	56.3%
.	80000	33.3%
1	24825	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135175	56.3%
.	80000	33.3%
1	24825	10.3%

Debt Consolidation Loan
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	55234
1.0	24766

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	55234	57.5%
1.0	24766	25.8%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	55234	69.0%
1.0	24766	31.0%

Most occurring characters

Value	Count	Frequency (%)
0	135234	56.3%
.	80000	33.3%
1	24766	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135234	84.5%
1	24766	15.5%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135234	56.3%
.	80000	33.3%
1	24766	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135234	56.3%
.	80000	33.3%
1	24766	10.3%

Payday Loan
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	54533
1.0	25467

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	54533	56.8%
1.0	25467	26.5%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	54533	68.2%
1.0	25467	31.8%

Most occurring characters

Value	Count	Frequency (%)
0	134533	56.1%
.	80000	33.3%
1	25467	10.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	134533	84.1%
1	25467	15.9%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	134533	56.1%
.	80000	33.3%
1	25467	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	134533	56.1%
.	80000	33.3%
1	25467	10.6%

No Loan
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.2 MiB

0.0	70855
1.0	9145

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	240000
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	70855	73.8%
1.0	9145	9.5%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	70855	88.6%
1.0	9145	11.4%

Most occurring characters

Value	Count	Frequency (%)
0	150855	62.9%
.	80000	33.3%
1	9145	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160000	66.7%
Other Punctuation	80000	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	150855	94.3%
1	9145	5.7%

Other Punctuation

Value	Count	Frequency (%)
.	80000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	240000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	150855	62.9%
.	80000	33.3%
1	9145	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	240000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	150855	62.9%
.	80000	33.3%
1	9145	3.8%

Credit_History_Age_Numeric
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	404
Distinct (%)	0.5%
Missing	16022
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	18.42607708

Minimum	0.08333333333
Maximum	33.66666667
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	750.3 KiB

Quantile statistics

Minimum	0.08333333333
5-th percentile	5.583333333
Q1	12.83333333
median	18.25
Q3	24.33333333
95-th percentile	31.58333333
Maximum	33.66666667
Range	33.58333333
Interquartile range (IQR)	11.5

Descriptive statistics

Standard deviation	7.920898049
Coefficient of variation (CV)	0.4298743576
Kurtosis	-0.6953209695
Mean	18.42607708
Median Absolute Deviation (MAD)	5.75
Skewness	-0.04224457142
Sum	1474086.167
Variance	62.74062591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.25	7582	7.9%
19.25	361	0.4%
19.33333333	360	0.4%
15.91666667	358	0.4%
19.41666667	353	0.4%
15.75	353	0.4%
17.91666667	351	0.4%
17.66666667	350	0.4%
17.83333333	348	0.4%
15.83333333	347	0.4%
Other values (394)	69237	72.1%
(Missing)	16022	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.08333333333	2	< 0.1%
0.1666666667	10	< 0.1%
0.25	14	< 0.1%
0.3333333333	30	< 0.1%
0.4166666667	29	< 0.1%
0.5	29	< 0.1%
0.5833333333	41	< 0.1%
0.6666666667	45	< 0.1%
0.75	53	0.1%
0.8333333333	66	0.1%

Value	Count	Frequency (%)
33.66666667	7	< 0.1%
33.58333333	13	< 0.1%
33.5	36	< 0.1%
33.41666667	71	0.1%
33.33333333	102	0.1%
33.25	139	0.1%
33.16666667	155	0.2%
33.08333333	161	0.2%
33	179	0.2%
32.91666667	219	0.2%

Occupation
Categorical

MISSING

Distinct	15
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.5 MiB

Lawyer	10981
Architect	5110
Engineer	5040
Scientist	5020
Media_Manager	5003
Other values (10)	48846

Length

Max length	13
Median length	10
Mean length	8.3624125
Min length	6

Characters and Unicode

Total characters	668993
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Journalist
2nd row	Accountant
3rd row	Scientist
4th row	Manager
5th row	Media_Manager

Common Values

Value	Count	Frequency (%)
Lawyer	10981	11.4%
Architect	5110	5.3%
Engineer	5040	5.2%
Scientist	5020	5.2%
Media_Manager	5003	5.2%
Accountant	5001	5.2%
Mechanic	4997	5.2%
Journalist	4962	5.2%
Developer	4959	5.2%
Teacher	4936	5.1%
Other values (5)	23991	25.0%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lawyer	10981	13.7%
architect	5110	6.4%
engineer	5040	6.3%
scientist	5020	6.3%
media_manager	5003	6.3%
accountant	5001	6.3%
mechanic	4997	6.2%
journalist	4962	6.2%
developer	4959	6.2%
teacher	4936	6.2%
Other values (5)	23991	30.0%

Most occurring characters

Value	Count	Frequency (%)
e	95220	14.2%
r	74801	11.2%
a	60210	9.0%
n	59453	8.9%
c	49748	7.4%
t	49688	7.4%
i	49299	7.4%
o	24614	3.7%
M	24530	3.7%
u	19624	2.9%
Other values (18)	161806	24.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	578987	86.5%
Uppercase Letter	85003	12.7%
Connector Punctuation	5003	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	95220	16.4%
r	74801	12.9%
a	60210	10.4%
n	59453	10.3%
c	49748	8.6%
t	49688	8.6%
i	49299	8.5%
o	24614	4.3%
u	19624	3.4%
h	15043	2.6%
Other values (8)	81287	14.0%

Uppercase Letter

Value	Count	Frequency (%)
M	24530	28.9%
L	10981	12.9%
A	10111	11.9%
E	9971	11.7%
D	9805	11.5%
S	5020	5.9%
J	4962	5.8%
T	4936	5.8%
W	4687	5.5%

Connector Punctuation

Value	Count	Frequency (%)
_	5003	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	663990	99.3%
Common	5003	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	95220	14.3%
r	74801	11.3%
a	60210	9.1%
n	59453	9.0%
c	49748	7.5%
t	49688	7.5%
i	49299	7.4%
o	24614	3.7%
M	24530	3.7%
u	19624	3.0%
Other values (17)	156803	23.6%

Common

Value	Count	Frequency (%)
_	5003	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	668993	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	95220	14.2%
r	74801	11.2%
a	60210	9.0%
n	59453	8.9%
c	49748	7.4%
t	49688	7.4%
i	49299	7.4%
o	24614	3.7%
M	24530	3.7%
u	19624	2.9%
Other values (18)	161806	24.2%

Credit_Mix
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.3 MiB

Standard	45318
Good	19563
Bad	15119

Length

Max length	8
Median length	8
Mean length	6.0769125
Min length	3

Characters and Unicode

Total characters	486153
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Standard
4th row	Standard
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	45318	47.2%
Good	19563	20.4%
Bad	15119	15.7%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
standard	45318	56.6%
good	19563	24.5%
bad	15119	18.9%

Most occurring characters

Value	Count	Frequency (%)
d	125318	25.8%
a	105755	21.8%
S	45318	9.3%
t	45318	9.3%
n	45318	9.3%
r	45318	9.3%
o	39126	8.0%
G	19563	4.0%
B	15119	3.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	406153	83.5%
Uppercase Letter	80000	16.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	125318	30.9%
a	105755	26.0%
t	45318	11.2%
n	45318	11.2%
r	45318	11.2%
o	39126	9.6%

Uppercase Letter

Value	Count	Frequency (%)
S	45318	56.6%
G	19563	24.5%
B	15119	18.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	486153	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	125318	25.8%
a	105755	21.8%
S	45318	9.3%
t	45318	9.3%
n	45318	9.3%
r	45318	9.3%
o	39126	8.0%
G	19563	4.0%
B	15119	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	486153	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	125318	25.8%
a	105755	21.8%
S	45318	9.3%
t	45318	9.3%
n	45318	9.3%
r	45318	9.3%
o	39126	8.0%
G	19563	4.0%
B	15119	3.1%

Payment_of_Min_Amount
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	5.0 MiB

Yes	41811
No	28552
NM	9637

Length

Max length	3
Median length	3
Mean length	2.5226375
Min length	2

Characters and Unicode

Total characters	201811
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	NM

Common Values

Value	Count	Frequency (%)
Yes	41811	43.5%
No	28552	29.7%
NM	9637	10.0%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	41811	52.3%
no	28552	35.7%
nm	9637	12.0%

Most occurring characters

Value	Count	Frequency (%)
Y	41811	20.7%
e	41811	20.7%
s	41811	20.7%
N	38189	18.9%
o	28552	14.1%
M	9637	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	112174	55.6%
Uppercase Letter	89637	44.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Y	41811	46.6%
N	38189	42.6%
M	9637	10.8%

Lowercase Letter

Value	Count	Frequency (%)
e	41811	37.3%
s	41811	37.3%
o	28552	25.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	201811	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	41811	20.7%
e	41811	20.7%
s	41811	20.7%
N	38189	18.9%
o	28552	14.1%
M	9637	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201811	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	41811	20.7%
e	41811	20.7%
s	41811	20.7%
N	38189	18.9%
o	28552	14.1%
M	9637	4.8%

Payment_Behaviour
Categorical

MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	7.1 MiB

Low_spent_Small_value_payments	20313
High_spent_Medium_value_payments	14021
Low_spent_Medium_value_payments	11166
High_spent_Large_value_payments	11012
High_spent_Small_value_payments	9054
Other values (2)	14434

Length

Max length	32
Median length	31
Mean length	29.4474375
Min length	13

Characters and Unicode

Total characters	2355795
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High_spent_Medium_value_payments
2nd row	High_spent_Large_value_payments
3rd row	Low_spent_Small_value_payments
4th row	Low_spent_Large_value_payments
5th row	High_spent_Medium_value_payments

Common Values

Value	Count	Frequency (%)
Low_spent_Small_value_payments	20313	21.2%
High_spent_Medium_value_payments	14021	14.6%
Low_spent_Medium_value_payments	11166	11.6%
High_spent_Large_value_payments	11012	11.5%
High_spent_Small_value_payments	9054	9.4%
Low_spent_Large_value_payments	8347	8.7%
Not_Specified	6087	6.3%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
low_spent_small_value_payments	20313	25.4%
high_spent_medium_value_payments	14021	17.5%
low_spent_medium_value_payments	11166	14.0%
high_spent_large_value_payments	11012	13.8%
high_spent_small_value_payments	9054	11.3%
low_spent_large_value_payments	8347	10.4%
not_specified	6087	7.6%

Most occurring characters

Value	Count	Frequency (%)
_	301739	12.8%
e	278459	11.8%
a	196552	8.3%
p	153913	6.5%
t	153913	6.5%
s	147826	6.3%
n	147826	6.3%
l	132647	5.6%
m	128467	5.5%
u	99100	4.2%
Other values (16)	615353	26.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1894056	80.4%
Connector Punctuation	301739	12.8%
Uppercase Letter	160000	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	278459	14.7%
a	196552	10.4%
p	153913	8.1%
t	153913	8.1%
s	147826	7.8%
n	147826	7.8%
l	132647	7.0%
m	128467	6.8%
u	99100	5.2%
v	73913	3.9%
Other values (10)	381440	20.1%

Uppercase Letter

Value	Count	Frequency (%)
L	59185	37.0%
S	35454	22.2%
H	34087	21.3%
M	25187	15.7%
N	6087	3.8%

Connector Punctuation

Value	Count	Frequency (%)
_	301739	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2054056	87.2%
Common	301739	12.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	278459	13.6%
a	196552	9.6%
p	153913	7.5%
t	153913	7.5%
s	147826	7.2%
n	147826	7.2%
l	132647	6.5%
m	128467	6.3%
u	99100	4.8%
v	73913	3.6%
Other values (15)	541440	26.4%

Common

Value	Count	Frequency (%)
_	301739	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2355795	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	301739	12.8%
e	278459	11.8%
a	196552	8.3%
p	153913	6.5%
t	153913	6.5%
s	147826	6.3%
n	147826	6.3%
l	132647	5.6%
m	128467	5.5%
u	99100	4.2%
Other values (16)	615353	26.1%

Credit_Score
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	16022
Missing (%)	16.7%
Memory size	94.2 KiB

Standard	42575
Poor	23124
Good	14301

Length

Max length	8
Median length	8
Mean length	6.12875
Min length	4

Characters and Unicode

Total characters	490300
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	42575	44.3%
Poor	23124	24.1%
Good	14301	14.9%
(Missing)	16022	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
standard	42575	53.2%
poor	23124	28.9%
good	14301	17.9%

Most occurring characters

Value	Count	Frequency (%)
d	99451	20.3%
a	85150	17.4%
o	74850	15.3%
r	65699	13.4%
S	42575	8.7%
t	42575	8.7%
n	42575	8.7%
P	23124	4.7%
G	14301	2.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	410300	83.7%
Uppercase Letter	80000	16.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	99451	24.2%
a	85150	20.8%
o	74850	18.2%
r	65699	16.0%
t	42575	10.4%
n	42575	10.4%

Uppercase Letter

Value	Count	Frequency (%)
S	42575	53.2%
P	23124	28.9%
G	14301	17.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	490300	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	99451	20.3%
a	85150	17.4%
o	74850	15.3%
r	65699	13.4%
S	42575	8.7%
t	42575	8.7%
n	42575	8.7%
P	23124	4.7%
G	14301	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	490300	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	99451	20.3%
a	85150	17.4%
o	74850	15.3%
r	65699	13.4%
S	42575	8.7%
t	42575	8.7%
n	42575	8.7%
P	23124	4.7%
G	14301	2.9%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Age	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Outstanding_Debt	Credit_Utilization_Ratio	Total_EMI_per_month	Amount_invested_monthly	Monthly_Balance	Auto Loan	Credit-Builder Loan	Personal Loan	Home Equity Loan	Not Specified	Mortgage Loan	Student Loan	Debt Consolidation Loan	Payday Loan	Credit_History_Age_Numeric	Occupation	Credit_Mix	Payment_of_Min_Amount	Payment_Behaviour	Credit_Score
0	0	20.0	101399.130	8535.927500	1.0	3.0	2.0	2.0	14.0	6.0	4.97	4.0	1061.06	42.681159	132.674897	114.299386	856.618467	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	24.750000	Journalist	Good	No	High_spent_Medium_value_payments	Good
1	1	25.0	112882.680	9684.890000	5.0	1.0	10.0	4.0	12.0	10.0	6.24	0.0	722.90	40.090839	353.616124	166.446410	688.426466	0.0	1.0	0.0	1.0	1.0	0.0	0.0	1.0	0.0	28.916667	Accountant	Good	No	High_spent_Large_value_payments	Good
2	2	49.0	28101.460	2173.463807	5.0	7.0	8.0	3.0	28.0	8.0	1.85	4.0	454.67	23.607892	268.268012	129.181273	242.921080	0.0	1.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	26.750000	Scientist	Standard	No	Low_spent_Small_value_payments	Good
3	3	34.0	22438.270	1856.855833	7.0	7.0	9.0	4.0	16.0	13.0	11.24	3.0	167.57	27.094189	58.436308	105.165644	292.083631	1.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	18.250000	Manager	Standard	No	Low_spent_Large_value_payments	Good
4	4	28.0	20975.400	1943.950000	2.0	3.0	9.0	1.0	2.0	9.0	9.94	1.0	731.40	26.205042	16.196792	67.158201	361.040007	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	24.250000	Media_Manager	Good	NM	High_spent_Medium_value_payments	Good
5	5	33.0	31751.830	2574.985833	5.0	4.0	18.0	3.0	24.0	12.0	18.76	8.0	110.73	24.301922	58.006937	120.397883	369.093763	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	24.083333	Media_Manager	Standard	Yes	Not_Specified	Good
6	6	46.0	8052.790	961.065833	8.0	7.0	24.0	8.0	45.0	23.0	16.28	12.0	3937.86	39.178605	29.240525	129.181273	320.538571	1.0	0.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	6.500000	Musician	Bad	Yes	Not_Specified	Good
7	7	30.0	16568.425	1550.702083	5.0	3.0	18.0	1.0	14.0	8.0	3.56	5.0	478.11	40.913914	8.474086	23.761873	372.834250	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	29.333333	Entrepreneur	Standard	No	High_spent_Medium_value_payments	Standard
8	8	48.0	32228.670	2819.603375	7.0	6.0	8.0	4.0	25.0	10.0	12.00	4.0	940.36	28.589412	176.204872	145.824991	327.861512	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	32.666667	Writer	Standard	NM	High_spent_Small_value_payments	NaN
9	9	35.0	19328.710	1480.725833	3.0	5.0	2.0	2.0	9.0	2.0	7.27	3.0	160.03	25.221563	25.874830	76.099156	336.098597	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	18.250000	Architect	Good	No	Low_spent_Small_value_payments	Good

Last rows

	df_index	Age	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Outstanding_Debt	Credit_Utilization_Ratio	Total_EMI_per_month	Amount_invested_monthly	Monthly_Balance	Auto Loan	Credit-Builder Loan	Personal Loan	Home Equity Loan	Not Specified	Mortgage Loan	Student Loan	Debt Consolidation Loan	Payday Loan	No Loan	Credit_History_Age_Numeric	Occupation	Credit_Mix	Payment_of_Min_Amount	Payment_Behaviour	Credit_Score
96012	99987	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Standard
96013	99988	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Standard
96014	99989	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Standard
96015	99990	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Standard
96016	99992	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Poor
96017	99994	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Poor
96018	99995	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Poor
96019	99996	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Poor
96020	99997	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Poor
96021	99998	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Standard

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation